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Journal Articles

CUDA programs for the GPU computing of the Swendsen-Wang multi-cluster spin flip algorithm; 2D and 3D Ising, Potts, and XY models

Komura, Yukihiro; Okabe, Yutaka*

Computer Physics Communications, 185(3), p.1038 - 1043, 2014/03

 Times Cited Count:13 Percentile:63.09(Computer Science, Interdisciplinary Applications)

We present sample CUDA programs for the GPU computing of the Swendsen-Wang multi-cluster spin flip algorithm. We deal with the classical spin models; the Ising model, the $$q$$-state Potts model, and the classical XY model. As for the lattice, both the 2D (square) lattice and the 3D (simple cubic) lattice are treated. We already reported the idea of the GPU implementation for 2D models. We here explain the details of sample programs, and discuss the performance of the present GPU implementation for the 3D Ising and XY models. We also show the calculated results of the moment ratio for these models, and discuss phase transitions.

Oral presentation

The Multiple GPU calculation for the classical spin model

Komura, Yukihiro

no journal, , 

no abstracts in English

Oral presentation

Multi GPU-based Swendsen-Wang multi-cluster algorithm for the simulation of three-dimensional classical spin systems

Komura, Yukihiro; Okabe, Yutaka*

no journal, , 

Recently, we proposed the multiple GPU computing with the common uni eddevice architecture (CUDA) for the Swendsen-Wang (SW) multi-cluster algorithm of two-dimensional (2D) q-state Potts model. In this speech, we propose the refined multiple GPU computing for the SW multi-cluster algorithm. By reducing the data traffic and the number of iterations in the inter-GPU calculation, we realize the more effective SW multi-cluster algorithm with multiple GPUs.

Oral presentation

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